Fake Job Seekers Are Using AI to Snatch up Jobs and Run Workplace Scams
Fake job seekers are snatching up remote jobs with fake credentials and deepfake interviews. HR teams to investigate this new threat. ...
Why IRS direct deposit refunds may vary across U.S. in 2025
As the 2025 tax season comes to an end, millions of working Americans eagerly await their IRS direct deposit refunds, particularly. It’s a season of anticipation partic...
USDA mass resignations: Lessons from a failed voluntary buyout program
The USDA buyouts triggered a mass resignation crisis, threatening food safety. Learn HR strategies to avoid a similar staff exodus. ...
Quiet Cracking: Employee Disengagement Takes on a New Form
Quite cracking is a new employee disengagement term that suggests employees are distressed at work and unable to showcase it. ...
HR Specialist vs Generalist: Understanding the Difference Between the Two
HR specialist vs generalist, what is the difference? Understanding the advantages of each role is essential to building a career. ...
April 2025 jobs report shows a resilient labor market
The U.S. labor market showed remarkable resilience in the April 2025 jobs report, adding 177,000 non-farm payroll jobs, surpassing expectations, while the unemployment ra...
Is National Paid Family Leave Across the US Set to Evolve in 2025?
A national paid family leave proposal, More Paid Leave for More Americans Act 2025, is under discussion, and it could change everything. ...
How Apple’s 2025 earnings will shape hiring strategy for HR
AAPL stock price rises post-Apple earnings call. Discover HR’s role in Apple’s hiring surge and diversity push amid strong AAPL earnings. ...
Amazon’s Q1 2025 earnings report: $2.2B wage hike redefines retention
Discover how Amazon’s Q1 2025 earnings report unveils a $2.2B workforce investment, reshaping HR strategies. Insights from the Amazon earnings call highlight pay raises...
55% of Companies Regret AI Layoffs, HR Leaders Need to Take Note
Around 55% of companies regret AI-related layoffs but that does not have to mean giving up on AI. Careful implementation comes first. ...
